The Conditionally Minimax Nonlinear Filtering Method and Modern Approaches to State Estimation in Nonlinear Stochastic Systems
- Авторлар: Borisov A.V.1, Bosov A.V.1, Kibzun A.I.2, Miller G.B.1, Semenikhin K.V.2
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Мекемелер:
- Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
- Moscow Aviation Institute
- Шығарылым: Том 79, № 1 (2018)
- Беттер: 1-11
- Бөлім: Topical Issue
- URL: https://ogarev-online.ru/0005-1179/article/view/150746
- DOI: https://doi.org/10.1134/S0005117918010010
- ID: 150746
Дәйексөз келтіру
Аннотация
We consider, in chronological order, the main results that have defined the concept of conditionally minimax nonlinear filtering. This would let us to follow all the evolution stages of this universal method, from a particular application, through basic mathematical concepts, to an advanced theory able to solve a wide class of robust estimation problems in linear and nonlinear stochastic systems.
Авторлар туралы
A. Borisov
Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Хат алмасуға жауапты Автор.
Email: aborisov@frccsc.ru
Ресей, Moscow
A. Bosov
Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Email: aborisov@frccsc.ru
Ресей, Moscow
A. Kibzun
Moscow Aviation Institute
Email: aborisov@frccsc.ru
Ресей, Moscow
G. Miller
Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Email: aborisov@frccsc.ru
Ресей, Moscow
K. Semenikhin
Moscow Aviation Institute
Email: aborisov@frccsc.ru
Ресей, Moscow
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